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Documentation of statistics: Research Education

Contact info, Population and Education, Social Statistics , Lene Riberholdt , +45 23 60 62 18 , LRI@dst.dk , Get documentation of statistics as pdf, Research Education 2025 , Previous versions, Research Education 2024, Research Education 2023, Research Education 2022, Research Education 2021, Research Education 2020, Research Education 2019, Research Education 2018, Research Education 2017, Research Education 2016, Research Education 2015, Research Education 2014, Research Education 2013, The aim of the statistics on PhD-students is to show the volume of PhD-education. Furthermore it gives information on the progress of the education and the subjects of the project. Data are comparable since mid-eighties which is as long the PhD education has existed in Denmark., Statistical presentation, The statistics gives information on numbers of PhD-students and numbers of PhD-graduates at institutions approved to offer PhD-educations in Denmark. The statistics gives information on the progress of the education, under here schemes and special arrangements, periods of leave, and study periods spent abroad. The statistics also gives information on the subjects of the project and on sources of financing. The statistics also covers doctorate granted after §15,2, according to this paragraph a doctorate can be granted based exclusively on a positive evaluation of a thesis without participation in an education., Read more about statistical presentation, Statistical processing, The statistics is based on reports from all Danish institutions approved to offer PhD-educations. The data collection covers the total population. The reported data from each respondent is examined carefully. The examination is concentrated on missing data for each respondent. It is also checked if consistent information are reported for each student. Data reported from a university is furthermore compared to data for previous time periods. , In case of missing data or unexpected trends the respondent is contacted for verification of the reported data., Read more about statistical processing, Relevance, These statistics are relevant for Ministries, Universities, Public service, Business organizations, Media and Researchers, for research and analyses. The statistical data are also used in other areas within Statistics Denmark as education statistics are relevant in many contexts. , Read more about relevance, Accuracy and reliability, The statistics are based on a complete enumeration in which all universities and other institutions authorised to offer PhD programmes report data. The statistics cover PhD students and awarded PhD degrees at Danish institutions but do not include doctoral degrees obtained abroad. The core information on the number of PhD students and the number of awarded PhD degrees is based on extensive error checking and there are no significant missing reports. Information on the main field of study is based on institutional affiliation and may in some cases be affected by organisational changes at the universities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately five months after the end of the reference period. In some cases, the release date may be adjusted if reports are received late or if additional data validation and processing are required. The statistics are thereafter published on time in accordance with the announced release date in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time for the core variables relating to PhD students and awarded PhD degrees, as the population and main definitions have been consistent since 1996. Information on main fields of study may in some years be affected by changes in the organisational structure of universities; such changes have been addressed through recoding to preserve the time series. The statistics are comparable with international statistics on PhD programmes but differ from statistics on the educational attainment of the population in countries where individuals with PhD degrees obtained abroad are included., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , PhD programmes, . For further information, go to the , subject page, . Tailor-made statistics is available via , DST Consulting, . Micro-data is accessible via Statistics Denmark's , Research Services, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-education

Documentation of statistics

Documentation of statistics: Regional Accounts

Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Regional Accounts 2024 , Previous versions, Regional Accounts 2023, Regional Accounts 2022, Regional Accounts 2021, Regional Accounts 2020, Regional Accounts 2019, Regional Accounts 2018, Regional Accounts 2017, Regional Accounts 2016, Regional Accounts 2015, Regional Accounts 2014, Regional Accounts 2013, Regional Accounts 2012, The purpose of regional accounts is to describe the economic activity in the regions and provinces within the framework of national accounts definitions and classifications. The accounts are compiled in accordance with the guidelines set out in ESA2010 and are comparable with regional accounts for other European countries. Regional accounts are published at the NUTS II level (regions) and NUTS III level (provinces). Regional accounts have been compiled since 1999., Statistical presentation, Regional accounts describe the geographical dimension of production and income conditions as these are compiled in the national accounts using the production approach. The regional allocation aims at adding production etc. to the region where production takes place. , Regional accounts contain information on GDP, gross value added, gross fixed capital formation, compensation of employees and employment. Moreover the household sector's incomes are compiled. The regional allocation of the household income is based on the residence of the households and not where the incomes are earned., Read more about statistical presentation, Statistical processing, The statistics are based on regional versions of the national accounts' sources, where this is possible. The main sources are Accounting Statistics for Non-agricultural Private Sector and General Government Finances Statistics. The sources are used either directly or as a distribution key. The regional accounts are revised in line with the publication rhythm of the national accounts. The final figures for the regional accounts are therefore not available until three years after the end of the reference period., Read more about statistical processing, Relevance, National and regional accounts are relevant for all, who deal with economic and regional matters., Read more about relevance, Accuracy and reliability, Regional accounts are subject to the same margins of uncertainty as the annual national accounts and the inaccuracy here relates to the inaccuracy of the various sources used. However, the conceptual consistency and over time uniform adaptation of the sources contribute to reduce the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases reveals errors, which are therefore not reflected in the final national accounts. With regard to the regional dimension the following factors can be mentioned:, Read more about accuracy and reliability, Timeliness and punctuality, First version of regional accounts is published 12 month after the reference year. Final regional accounts are published 3 years after the reference year. Regional accounts have a high degree of punctuality, Read more about timeliness and punctuality, Comparability, Regional accounts are consistent with the national accounts, as the sum of the figures for each region with respect to each individual variable is equal to the national accounts value for the same variables. Consequently, each variable can be interpreted in the same manner as the national accounts variables. Regional accounts are based on guidelines set out in ESA2010 and are thereby directly comparable with other regional accounts from the EU Member States. Consistent time series are available for 1993 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under , National accounts by region, . For further information, go to the , subject page, ., Regional accounts by 38 industries and 11 provinces/5 regions are available (at a charge). Furthermore regional data can be provided (at a charge) for groups of municipalities with a joint population of at least 100.000 inhabitants. In addition GDP and other non-industry data is available for municipalities with a population of at least 10.000 inhabitants., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/regional-accounts

Documentation of statistics

Documentation of statistics: Performing arts

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Performing arts 2025 , Previous versions, Performing arts 2024, Performing arts 2023, Performing arts 2022, Performing arts 2020, Performing arts 2019, Performing arts 2018, Performing arts 2017, Performing arts 2016, Performing arts 2015, Performing Arts 2013, The statistic shows the activity at the professional theaters in Denmark. The theaters divided into state-subsidized and non-state-subsidized theaters. Statistics for the state-subsidized theaters have been prepared since the season 1980/1981. Statistics for the non-state-subsidized theaters have been prepared since the 2003/2004 season. Statistics on international guest performances on both state-sponsored and non state-subsidized theaters have been prepared since the 2004/2005 season. In season 2005/2006 was the concert and culture hosted international guest performances also included in the statistics. The figures for the season 2015/2016 are not directly comparable with previous figures as there has been a data break. , Statistical presentation, The statistics show annual seasonal activities, productions, performances, spectators and primary audiences at the state-supported and non-state-supported professional theatres. For each production there is information about genre, theater category, activity, stage and audience group.. For the season 2020/2021 and forward, the statistics have been revised, where the number of categories with regards to theatres, genre and audience group have been expanded. Therefore there has been a data break. Two new tables in Statbank has been developed, SCENE08A and SCENE10A, which are consistent back to season 2015/2016. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from individual theaters via an electronic questionnaire. The collected data is validated for consistency and compared with previous seasons. After validation, the data is aggregated, and imputation is performed for missing responses. Special considerations are taken for extraordinary circumstances, such as closures and restrictions related to COVID-19 during the 2019/2020 and 2020/2021 seasons, as well as to some extent in the subsequent seasons, where additional statistical treatment was necessary., Read more about statistical processing, Relevance, Key users are the Ministry of Culture, government, public and private organizations, researchers and the press. There has not been a user satisfaction., Read more about relevance, Accuracy and reliability, Reporting for the Performing Arts statistic is voluntary. Therefore, the statistics are not fully comprehensive. Several of the non-state-subsidized theaters report that they do not have resources to cooperate in the investigation. Many reporters are small theater producers / project theaters that receive government subsidies to develop a single production. It can be difficult to get reports from some of these reporters. Yet it is estimated that performing arts statistics cover the majority of activities in performing arts, as all large and medium state-subsidized and non-subsidized theaters, participate in the study in each season., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately six months after the end of the season. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since the season 1980-81. In connection with the changes to the legislative etc., Regulating aid to the theaters, there may be changes in the population, which can complicate comparisons over time. There has been no comparison of these statistics with similar international surveys., StatBank Denmark contains 3 tables with data that can be returned for the season 1981/1982., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, (News from Statistics Denmark - in Danish only) and in the StatBank under , Theatre and dramatic art, ., You can also find figures on performing arts in the , Publication on culture, (In Danish only)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/performing-arts

Documentation of statistics

Registers and reference types

Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform DDP App. Denmark’s Data Portal manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in DDP App, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-3. kvt (pdf), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers and data packages, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Datapackages (pdf - in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

Documentation of statistics: Accounts Statistics for Non-Agricultural Private Sector

Contact info, Business Dynamics, Business Statistics , Jeppe Strandgaard Herring , +45 24 44 43 06 , JHR@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Non-Agricultural Private Sector 2024 , Previous versions, Accounts Statistics for Non-Agricultural Private Sector 2023, Accounts Statistics for Non-Agricultural Private Sector 2022, Accounts Statistics for Non-Agricultural Private Sector 2021, Accounts Statistics for Non-Agricultural Private Sector 2020, Accounts Statistics for Non-Agricultural Private Sector 2019, Accounts Statistics for Non-Agricultural Private Sector 2018, Accounts Statistics for Non-Agricultural Private Sector 2017, Accounts Statistics for Non-Agricultural Private Sector 2016, Accounts Statistics for Non-Agricultural Private Sector 2015, Accounts Statistics for Non-Agricultural Private Sector 2014, Accounts Statistics for Non-Agricultural Private Sector 2013, Accounts Statistics for Non-Agricultural Private Sector 2012, The purpose of Accounts statistics is to analyze the activity level and of the structure of the Danish business sector. This means that the statistics should be seen as a primary source of financial data for analytical studies of Danish business enterprises, including data required for the evaluation and conception of Government policies and decisions affecting the business community. Moreover, the accounts statistics are an essential input to the Danish national accounts statistics., Statistical presentation, The statistics annually show enterprises income statements, balance sheets, and investments both at the enterprise level and at the establishment level. The statistical basis includes detailed accounting items, including revenue, consumption of goods, expenses, annual results, assets, liabilities, and investments. The accounting statistics for private urban businesses do not include agriculture, fishing, ports, financial institutions, insurance, public housing companies, public administration, etc. The statistics only cover market activity. The statistics are published in "News from Statistics Denmark" and in the "StatBank.", Read more about statistical presentation, Statistical processing, Information is obtained annually from a sample of enterprises using online reporting. The online questionnaire follows the Danish Financial Statements Act as much as possible, and the information obtained undergoes a systematic troubleshooting in Statistics Denmark. Data is supplemented with data from several other sources. Based on the collected and other data, values ​​for all variables are calculated for the full population., Read more about statistical processing, Relevance, Applications: studies of business economics, regional finance studies, primary data for the Danish national accounts and for Eurostat's structural business statistics. Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, scientist, journalists and students., Read more about relevance, Accuracy and reliability, The statistics provide a reliable picture of the financial situation of the Danish business community, as it is based on a broad sample, administrative data and is based on detailed accounts. Most confident is the statistics at the enterprise level, as the annual accounts are made at this level., It is assumed that the enterprises in which information is received from SKAT and the Danish Business Authority, in the same industries and with the same ownership form, are comparable with the enterprises in the sample. Furthermore, it is assumed that enterprises with less than 5 employees are comparable to enterprises with 6-10 employees, for enterprises that do not have a large VAT turnover (industry dependent but typically at least DKK 150 million)., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published provisionally approx. 6 months after and finally approx. 12 months after the last closing date (April 30) and usually without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, The new type of accounts statistics is largely comparable with, and supplemented by, the SKAT data based accounts statistics which were discontinued after 1998. Statistics Denmark publishes statistics on various subjects related to business accounts, notably VAT-related turnover, manufacturers' sales of commodities, and short-term statistics of order books and sales. However, these statistics are not directly comparable with the accounts statistics, because of differences in units, coverage or concepts., Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, in Danish, . In StatBank data are published under the subject , Enterprise finance and accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-non-agricultural-private-sector

Documentation of statistics

Contact: Finance, HR and Service

Section/Title, Name, Phone, Mail, IT supporter trainee, IT supporter trainee, Mikkel Mørch Eddelien , +45 23 46 46 29, mme@dst.dk, IT supporter trainee, IT supporter trainee, Alex Dyrhauge Halberg Petersen , +45 21 79 41 93, adp@dst.dk, Office Trainee, Office Trainee, Malene Boie Simonsen , +45 21 44 34 78, moe@dst.dk, Management and Office Support, CFO, CFO, Jakob Vestergaard , +45 20 20 18 38, jbv@dst.dk, Development and Results, Senior Adviser, Senior Adviser, Katrine Houbak Hertel , +45 23 71 13 08, khh@dst.dk, Head of Section, Head of Section, Anette Bjørsted , +45 20 47 21 46, atb@dst.dk, Finance, Chief Adviser, Chief Adviser, Malene Nygaard Uldahl , +45 20 40 33 14, mnu@dst.dk, Senior Adviser, Senior Adviser, Edyta Beata Banas Hansen , +45 21 16 85 34, ebb@dst.dk, Senior Adviser, Senior Adviser, Jasper Hartmann Jørgensen , +45 40 29 47 60, hrt@dst.dk, Senior Adviser, Senior Adviser, Helle Kofoed Larsen , +45 20 47 87 23, hla@dst.dk, Executive chief consultant, Executive chief consultant, Susanne Clausen , +45 20 16 14 17, shc@dst.dk, Senior Clerk, Senior Clerk, Mette Kjeldahl Wrona , +45 23 32 53 97, mwr@dst.dk, Senior Head Clerk, Senior Head Clerk, Pernille Gregersen , +45 40 13 85 96, pgr@dst.dk, Senior Head Clerk, Senior Head Clerk, Bodil Jonasen , +45 20 47 77 52, bjn@dst.dk, Senior Head Clerk, Senior Head Clerk, Anita Kristensen , +45 20 47 35 43, aak@dst.dk, Student, Student, Hanna Navasser , +45 21 16 74 83, hnv@dst.dk, HR, Chief Adviser, Chief Adviser, Helle Thejn , +45 21 52 82 40, hth@dst.dk, Senior Adviser, Senior Adviser, Laura Winther Milde , +45 20 16 27 63, lwm@dst.dk, Head of Section, Head of Section, Celina Jancey , +45 21 25 90 68, cel@dst.dk, Executive chief consultant, Executive chief consultant, Anne Engholm Jelby , +45 21 47 36 26, aeh@dst.dk, Senior Head Clerk, Senior Head Clerk, Tina Ehlig Hansen , +45 24 93 35 73, tie@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Juul , +45 20 46 27 18, kjj@dst.dk, Senior Head Clerk, Senior Head Clerk, Linda Juvald , +45 21 19 62 18, ljv@dst.dk, Senior Head Clerk, Senior Head Clerk, Pia Kraag Krüger , +45 24 25 95 07, pkr@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Hermann Nielsen , +45 21 79 83 82, kan@dst.dk, Senior Head Clerk, Senior Head Clerk, Sonja Tesch , +45 24 37 26 17, sba@dst.dk, Internal services, Senior Head Clerk, Senior Head Clerk, Gitte Hansson , +45 22 26 70 04, gpt@dst.dk, Office Trainees, Office Trainee, Office Trainee, Monique Neergaard-Nielsen , +45 29 27 35 53, moq@dst.dk, Office Trainee, Office Trainee, Sara Louise Bøggild Nielsen , +45 21 79 96 38, sbo@dst.dk, Office Trainee, Office Trainee, Helle Schandorff Eriksen , +45 24 49 12 01, hse@dst.dk, Office Trainee, Office Trainee, Signe Tarp , +45 23 42 89 73, sig@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=07&tlfbogsort=sektion

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in the DDP App. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. ,  , When Denmark’s Data Portal must create the population, If Denmark’s Data Portal is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in the DDP App, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Denmark’s Data Portal have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Denmark’s Data Portal prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Denmark’s Data Portal uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Denmark’s Data Portal creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or external data to be used, Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register,  , Especially about case control populations , Denmark’s Data Portal uses the term 'case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in the DDP App, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Denmark’s Data Portal, a detailed extraction description of the case control population is prepared. The final extraction description is attached as an appendix to the project proposal. Please note that the DDP App only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/populationsbeskrivelse

Documentation of statistics: The Population

Contact info, Population and Education , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, The Population 2024 , Previous versions, The Population 2020, The Population 2019, The Population 2017, The Population 2016, The Population 2014, The purpose of the population statistics is to focus on the size, composition and development of the population living in Denmark. The statistics create a basis for a number of analyses on demography and society and are used as a basis for planning tasks on a national, regional and municipal level. In their basic form, the statistics have been compiled since 1769 but have undergone a series of changes as society developed and legislation followed. Most of the present table series in Statbank Denmark comprise data from 2007 and forward, while a few of these go back further., Statistical presentation, The population statistics are usually a quarterly aggregation of the population living in Denmark broken down by e.g. sex, age, ancestry, marital status and municipality of residence. In connection with COVID-19, however, the number of deceased persons was aggregated on a weekly basis broken down by date of death, age bracket and province. The population statistics show the population in figures at the reference date in terms of persons, households and families. The statistics also show changes in the population, such as births, deaths and migrations etc., in the period between the two reference dates. Similarly, the statistics contain information about fertility, life expectancy and divorce rate. , Read more about statistical presentation, Statistical processing, Data for the statistics is collected on a daily basis from the Civil Registration System (CPR) by means of a system-to-system solution. The civil registration number and the updating of residence information and marital status information etc. is required for a vast number of public services, which serves as continuous validation of the content of the register. The number of immigrants, descendants, households, families, marriages and divorces is assessed on the basis of data from the Civil Registration System. It is also used to calculate e.g. fertility rates, life expectancy and divorce rates. In addition, data is applied from the Birth Register and the Cause of Death Register from the Danish Health Data Authority from which data is collected annually., Read more about statistical processing, Relevance, These statistics are relevant for municipalities, regions, ministries, other government organisations and private companies in analyses of a number of conditions of society and as a basis for planning of e.g. schools, roads, facilities and services for the elderly etc. Statistics Denmark also uses the basic data and results of the statistics for a vast number of other assessments., Read more about relevance, Accuracy and reliability, The statistics are based on the population registered in the Civil Registration System (CPR). Since correct registration in CPR is a condition for being able to lead a normal life in Denmark, the general quality and reliability of the register is regarded as very high. Failure to report immigrations and emigrations means that the published population is considered to be overestimated by 10,000 people or 0.14 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published one and a half months after the end of the reference period. The statistics are released without delay according to the scheduled dates of publication. The weekly publication of the number of deaths is released five days after the reference week. , Read more about timeliness and punctuality, Comparability, Denmark bases its population statistics on an administrative register, which also applies for a few other countries, whereas many countries take censuses every five or ten years. The population figure for the period 1971 and onwards is based on the same source, i.e. the Civil Registration System (CPR). The population figure from before this period is based on censuses., Read more about comparability, Accessibility and clarity, The statistics are published in “Nyt fra Danmarks Statistik” (in Danish). Figures for the population and its movements are published in Statbank Denmark. In addition, the figures are included in the publications , Befolkningens udvikling, and , Indvandrere i Danmark, (both in Danish with summaries in English). For further information, go to the subject pages of the statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-population

Documentation of statistics

Documentation of statistics: Highest Education Attained

Contact info, Population and Education, Social Statistics , Lars Peter Smed Christensen , +45 20 42 35 51 , LPC@dst.dk , Get documentation of statistics as pdf, Highest Education Attained 2024 , Previous versions, Highest Education Attained 2023, Highest Education Attained 2022, Highest Education Attained 2021, Highest Education Attained 2020, Highest Education Attained 2019, Highest Education Attained 2018, Highest Education Attained 2017, Highest Education Attained 2016, Highest Education Attained 2015, Highest Education Attained 2014, Highest Education Attained 2013, The purpose of the statistics on educational attainment is to give an overall statistical description of the educational level of the population at any given time. The primary data source to these statistics is the Student Register with data from 1970 onwards. In addition, the Qualification Register is used. Since the Student Register is the primary source for information, the Attainment Register gives nearly complete coverage from 1970 onwards. There is, however information before this time coming from The Qualification Register., Statistical presentation, The Attainment Register gathers information about the highest completed education for each single person based on the information in the Student Register and the Qualification Register. It is a longitudinal register based on an assessment of each person's education "career" and shows how the qualification career develops over time. The register is formed by interpreting the qualification career (skills in chronological order) in order to determine a change in the skill level. Once a year a status register is also produced with the population and information about education the 30. September the current year., Read more about statistical presentation, Statistical processing, The Attainment Register is a longitudinal register based on a assessment of each persons education career in The Student Register and The Qualification Register. It shows how the qualification career develop over time, and it is updated once a year. The status register is produced on the basis of the longitudinal register and contains information about the population and their highest completed education per. September 30 the given year., Read more about statistical processing, Relevance, There is a great variety of users. The information is generally used in connection with describing the population or sections hereof. The register is used in connection with status reports for other statistical fields. Data reports are thus submitted for (mainly on the population's highest level of education completed) a wide number of integration registers operated by Statistics Denmark. Furthermore, the register is frequently used in connection with external service activities order by Danish ministries, municipalities, research institutions, professional organization, private enterprises, private individuals and, not least, requests made by the news media., Read more about relevance, Accuracy and reliability, The Accuracy and reliability vary depending on the source of information. More than 80 pct. of the information comes from administrative sources, such as student systems of educational institutions, which are highly reliable. These sources have priority one when the registry is created and will be used if there is information from one of these sources. Other sources are not so closely linked to the education programs and will often be less reliable. Examples of these sources are the surveys of immigrants' education and the population and housing census in 1970, based on self-reported education. In addition, information is imputed for persons who do not respond in the study of immigrants' education. The imputed data is useful in overall statistical statements, but cannot be considered as valid information on individuals' educational attainment. , In connection with the annual reports from the education institutions there is information which also relate to previous years. These delayed notifications concern particularly the last year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 6 months after the end of the reference time. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The longitudinal register is produced once a year and the entire period is thus calculated in the same way. Based on the longitudinal register, a status register is produced with the population per. September 30 that year. In the event of significant changes in the way the longitudinal register is produced, the status registers for all years will be reproduced. It happens that an education changes level from one year to the next. Typically, this will not cause a reproduction of all the status registers and therefore affect comparability over time. Labor force survey provide information too Eurostat about the educational attainment level and this is these figures that are used for international comparison of the attainment level., Read more about comparability, Accessibility and clarity, Statistics are published once a year in "News from Statistics Denmark" . At the same time data are released in the Statbank and on the homepage: , Homepage, Information also appears in the annual publications Statistical 10-Year Review and the Statistical Yearbook., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/highest-education-attained

Documentation of statistics

Public libraries

How many materials do citizens borrow from the public libraries in Denmark? How many people visit the public libraries? The public library statistics show the activity of the Danish public libraries – for example, the number of books, loans, and renewals. It also provides information regarding the number of loans taken through digital services, such as eReolen and Filmstriben., Visits to public libraries , The figure shows the number of visits to the public libraries in Denmark., In Statbank Denmark, you can find more data on Public libraries (BIB2B), More about the figure, Last update, 1.8.2025, Next update, 3.7.2026, Source data, Public and research libraries report data to Statistics Denmark via an electronic questionnaire. The Ministry of Culture provides population for the statistics., Read more about sources, method and quality in the documentation of statistics on Libraries, Loans of physical and digital materials, The figure shows the distribution of loans from the public libraries and eReolen (digital loans)., In Statbank Denmark, you can find more data on Lending and borrowers (IBIB1A), More about the figure, Last update, 27.2.2025, Next update, 17.4.2026, Source data, Public and research libraries report data to Statistics Denmark via an electronic questionnaire. The Ministry of Culture provides population for the statistics., Read more about sources, method and quality in the documentation of statistics on Libraries, Loans of materials in Filmstriben, The figure shows the number of loans in Filmstriben., In Statbank Denmark, you can find more data on Filmstribens loans and loaners (FSTRIB1), More about the figure, Last update, 24.11.2025, Next update, 17.4.2026, Source data, Public and research libraries report data to Statistics Denmark via an electronic questionnaire. The Ministry of Culture provides population for the statistics., Read more about sources, method and quality in the documentation of statistics on Libraries, Loans from public school libraries by material type, The table shows the number of loans from Danish public school libraries distributed by material type., Loans from public school libraries, Unit: , Number, 2023, 2024, Lending. All materials, 24,892,932, 25,875,496, Lending. Books, 22,347,865, 23,552,047, Lending. Audio books, 167,418, 140,267, Lending. Music recordings, 395,170, 362,060, Lending. Moving pictures, 738,953, 687,274, Lending. Multimedia, 179,257, 159,759, Lending. Other materials, 141,820, 144,401, Lending. Serial publications, 922,449, 829,688, In Statbank Denmark, you can find more data on Public libraries key figures (BIB1), More about the figure, Last update, 26.9.2025, Next update, 3.7.2026, Source data, Public and research libraries report data to Statistics Denmark via an electronic questionnaire. The Ministry of Culture provides population for the statistics., Read more about sources, method and quality in the documentation of statistics on Libraries, Borrowers at public libraries by gender, The figure shows the gender distribution of public library borrowers., In Statbank Denmark, you can find more data on Lending and borrowers (IBIB1A), More about the figure, Last update, 27.2.2025, Next update, 17.4.2026, Source data, Public and research libraries report data to Statistics Denmark via an electronic questionnaire. The Ministry of Culture provides population for the statistics., Read more about sources, method and quality in the documentation of statistics on Libraries, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Cultural Habits Survey, The purpose of the Cultural Habits Survey is to document the cultural habits of the residents of Denmark. Culture is broadly defined, as the survey covers habits within the topics of culture, media and recreational activities, e.g. concerts, performing arts, cinema, literature, exercise, digital games and hobbies. The survey has been carried out regularly since 1964. Statistics Denmark has carried out the survey from 2018-2023 and in 2024-, while previous surveys have been carried out by the Ministry of Culture. The survey has been carried out with a new questionnaire since the first quarter of 2024, and is therefore not directly comparable with previous versions., Read more about sources, method and quality in the documentation of statistics on Cultural Habits Survey, Libraries, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. From 2000 and up to and including 2009 the statistics was produced by the Ministry of Culture. , Read more about sources, method and quality in the documentation of statistics on Libraries, Need more data on Public libraries?, Go on searching on your own in Statbank Denmark. Find detailed figures, for example about public libraries activities, material types and book stocks. In addition, you can find statistics about public library borrowers., Go to the StatBank, Contact, Trine Jensen, Phone: +45 20 13 88 17, Mail: , tsn@dst.dk

https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/biblioteker/folkebiblioteker

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